Suryarjuna Gopakumar

Suryarjuna Gopakumar has a diverse work experience in the field of data science and analytics. Suryarjuna started their career as a Machine Learning Consultant at ZS, where they contributed to the design and development of a machine learning product. Suryarjuna then joined ZS as a Data Engineering Consultant, specializing in Pharma Supply Chain Management and leading a team of engineers to deliver a solution that generated significant savings.

After ZS, Suryarjuna worked at Knowledge Lens, initially as a Data Science Intern, where they designed and developed AI modules and machine learning algorithms for the product AiLens. Suryarjuna then progressed to become a Junior Data Scientist, taking on responsibilities such as developing visualization platforms and enhancing product availability. As a Data Scientist, they worked on value-centric data science solutions and digital transformation for various clients.

Currently, Suryarjuna is employed at UnifyTwin as a Senior Data Scientist, working on their Industrial 5.0 product. Suryarjuna is responsible for envisioning, designing, and delivering the platform's data science and advanced analytics capabilities for the manufacturing industry in real-time. Additionally, they are leading the data science practice at Knowledge Lens as a Lead Data Scientist, driving digital transformation and enterprise AI initiatives.

Overall, Suryarjuna Gopakumar's work experience showcases their expertise in data science, machine learning, and digital transformation across multiple industries.

Suryarjuna Gopakumar obtained a Bachelor of Technology (BTech) degree in Computer Science and Engineering from Amrita Vishwa Vidyapeetham between the years 2014 and 2018. In addition to their formal education, they have also obtained several certifications. In September 2020, they completed a course on "Computer Vision - Object Detection with OpenCV and Python" from Coursera. In April 2020, they completed three more certifications: "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization", "Neural Networks and Deep Learning," and "Structuring Machine Learning Projects" from deeplearning.ai.